Serum metabolomic profiling facilitates the non-invasive identification of metabolic biomarkers associated with the onset and progression of non-small cell lung cancer

Fecha de publicación:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Jantus-Lewintre E
  • García-García F
  • Lucas R
  • Calabuig S
  • Blasco A
  • Dopazo J
  • Camps C

Grupos

Abstract

Lung cancer (LC) is responsible for most cancer deaths. One of the main factors contributing to the lethality of this disease is the fact that a large proportion of patients are diagnosed at advanced stages when a clinical intervention is unlikely to succeed. In this study, we evaluated the potential of metabolomics by H-1-NMR to facilitate the identification of accurate and reliable biomarkers to support the early diagnosis and prognosis of non-small cell lung cancer (NSCLC). We found that the metabolic profile of NSCLC patients, compared with healthy individuals, is characterized by statistically significant changes in the concentration of 18 metabolites representing different amino acids, organic acids and alcohols, as well as different lipids and molecules involved in lipid metabolism. Furthermore, the analysis of the differences between the metabolic profiles of NSCLC patients at different stages of the disease revealed the existence of 17 metabolites involved in metabolic changes associated with disease progression. Our results underscore the potential of metabolomics profiling to uncover pathophysiological mechanisms that could be useful to objectively discriminate NSCLC patients from healthy individuals, as well as between different stages of the disease.

Datos de la publicación

ISSN/ISSNe:
1949-2553, 1949-2553

Oncotarget  IMPACT JOURNALS LLC

Tipo:
Article
Páginas:
12904-12916
PubMed:
26883203
Factor de Impacto:
1,994 SCImago
Cuartil:
Q1 SCImago

Citas Recibidas en Web of Science: 67

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Keywords

  • NSCLC; metabolomics; biomarkers; early diagnosis; prognosis

Campos de Estudio

Proyectos y Estudios Clínicos

UNA APROXIMACIÓN ÓMICA AL DIAGNÓSTICO DE LA TUBERCULOSIS

PCIN-2013-041 . MINISTERIO DE ECONOMIA Y COMPETITIVIDAD; FUNDACIÓN PARA LA INVESTIGACIÓN DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA . 2015

HERRAMIENTAS DE RMN PARA EL DESARROLLO DE UNA PLATAFORMA PARA LA IDENTIFICACIÓN DE DIANAS, LA EVALUACIÓN DE FÁRMACOS Y LA PERSONALIZACIÓN DE TRATAMIENTOS BASADA EN APROXIMACIONES METABOLÓMICAS

Investigador Principal: ANTONIO PINEDA LUCENA

SAF2014-53977-R . MINISTERIO DE ECONOMIA Y COMPETITIVIDAD . 2015

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